Jay Chhablani

19 papers Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Freqformer: Frequency-Domain Transformer for 3-D Reconstruction and Quantification of Human Retinal Vasculature.
IEEE Trans. Biomed. Eng.
Lingyun Wang, Bingjie Wang, Jay Chhablani, José-Alain Sahel, Shaohua Pi
2026 J jnl
Generalizable multimodal retinal image registration via label-free vessel segmentation.
Biomed. Signal Process. Control.
Utkarsh Doshi, Elli Davis, Mayss Al-sheikh, José-Alain Sahel, Jay Chhablani, Kiran Kumar Vupparaboina, Sandeep Chandra Bollepalli
2025 J jnl
Artificial intelligence in choroid through optical coherence tomography: a comprehensive review.
Artif. Intell. Rev.
Amrish Selvam, Matthew Driban, Joshua Ong, Sandeep Chandra Bollepalli, José-Alain Sahel, Jay Chhablani, Kiran Kumar Vupparaboina
2024 J jnl
Freqformer: Frequency-Domain Transformer for 3-D Visualization and Quantification of Human Retinal Circulation.
CoRR
Lingyun Wang, Bingjie Wang, Jay Chhablani, José-Alain Sahel, Shaohua Pi
2023 — conf
Accurate Detection of 3D Choroidal Vasculature Using Swept-Source OCT Volumetric Scans Based on Phansalkar Thresholding.
BHI
Mohammed Nasar Ibrahim, Sandeep Chandra Bollepalli, Amrish Selvam, V. Sant, S. Harihar, José-Alain Sahel, Jay Chhablani, Kiran Kumar Vupparaboina
2023 — conf
Robust Retinal Layer Segmentation Using OCT B-Scans: A Novel Approach Based on Pix2Pix Generative Adversarial Network.
BCB
Adarsh Gadari, Sandeep Chandra Bollepalli, Mohammed Nasar Ibrahim, José-Alain Sahel, Jay Chhablani, Shan Suthaharan, Kiran Kumar Vupparaboina
2022 J jnl
Super U-Net: A modularized generalizable architecture.
Pattern Recognit.
Cameron A. Beeche, Jatin P. Singh, Joseph K. Leader, Naciye Sinem Gezer, Amechi P. Oruwari, Kunal K. Dansingani, Jay Chhablani, Jiantao Pu
2022 J jnl
Volumetric quantification of choroid and Haller's sublayer using OCT scans: An accurate and unified approach based on stratified smoothing.
Comput. Medical Imaging Graph.
Mohammed Nasar Ibrahim, Sarforaz Bin Bashar, Mohammed Abdul Rasheed, Amrish Selvam, V. Sant, José-Alain Sahel, Jay Chhablani, Kiran Kumar Vupparaboina, Soumya Jana
2021 — conf
Efficient Screening of Diseased Eyes based on Fundus Autofluorescence Images using Support Vector Machine.
BHI
Shanmukh Reddy Manne, Kiran Kumar Vupparaboina, Gowtham Chowdary Gudapati, Ram Anudeep Peddoju, Chandra Prakash Konkimalla, Sarforaz Bin Bashar, Abhilash Goud, Jay Chhablani, Soumya Jana
2021 J jnl
Efficient Screening of Diseased Eyes based on Fundus Autofluorescence Images using Support Vector Machine.
CoRR
Shanmukh Reddy Manne, Kiran Kumar Vupparaboina, Gowtham Chowdary Gudapati, Ram Anudeep Peddoju, Chandra Prakash Konkimalla, Abhilash Goud, Sarforaz Bin Bashar, Jay Chhablani, Soumya Jana
2020 J jnl
Laplacian feature detection and feature alignment for multimodal ophthalmic image registration using phase correlation and Hessian affine feature space.
Signal Process.
Shan Suthaharan, Ethan A. Rossi, Valerie Snyder, Jay Chhablani, Raphael Lejoyeux, José-Alain Sahel, Kunal K. Dansingani
2019 — conf
Classification and Quantification of Retinal Cysts in OCT B-Scans: Efficacy of Machine Learning Methods.
EMBC
R. Vamshi Teja, Shanmukh Reddy Manne, Abhilash Goud, Mohammed Abdul Rasheed, Kunal K. Dansingani, Jay Chhablani, Kiran Kumar Vupparaboina, Soumya Jana
2019 — conf
Diagnostic Quality Assessment of Ocular Fundus Photographs: Efficacy of Structure-Preserving ScatNet Features.
EMBC
Chander Dev, Sharang M. Sriram, Shanmukh Reddy Manne, Abhilash Goud, Sarforaz Bin Bashar, Ashutosh Richhariya, Jay Chhablani, Kiran Kumar Vupparaboina, Soumya Jana
2017 — conf
Segmenting and Labeling blood vessels in choroidal Haller's layer: A multiple target tracking approach.
BHI
Mohammed Nasar Ibrahim, Shivam Agarwal, Kiran Kumar Vupparaboina, Jay Chhablani, Ashutosh Richhariya, Soumya Jana
2016 J jnl
Semi-automated quantification of retinal IS/OS damage in en-face OCT image.
Comput. Biol. Medicine
Vineet Sunil Gattani, Kiran Kumar Vupparaboina, Ameya Patil, Jay Chhablani, Ashutosh Richhariya, Soumya Jana
2015 J jnl
Automated estimation of choroidal thickness distribution and volume based on OCT images of posterior visual section.
Comput. Medical Imaging Graph.
Kiran Kumar Vupparaboina, Srinath Nizampatnam, Jay Chhablani, Ashutosh Richhariya, Soumya Jana
2014 — conf
Automated detection of choroid boundary and vessels in optical coherence tomography images.
EMBC
Srinath Nizampatnam, Ameya Patil, Kiran Kumar Vupparaboina, Soumya Jana, Jay Chhablani, Ashutosh Richhariya
2013 — conf
3D visualization and mapping of choroid thickness based on optical coherence tomography: A step-by-step geometric approach.
IC3D
Kiran Kumar Vupparaboina, T. Ritesh Chandra, Soumya Jana, Ashutosh Richhariya, Jay Chhablani
2013 — conf
An automated algorithm for blood vessel count and area measurement in 2-D choroidal scan images.
EMBC
Nagaraj R. Mahajan, Ravi Chandra Reddy Donapati, Sumohana S. Channappayya, Sivaramakrishna Vanjari, Ashutosh Richhariya, Jay Chhablani